This project visualizes NEXRAD radar data, state boundaries, and street maps using OpenLayers and TMS layers. It overlays hazard markers and supports interactive map controls, integrating external tile services and AJAX-based data loading.

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.

Professional development environment for PySpark ETL interviews and practice.

An AI-powered system for analyzing James Webb Space Telescope images to identify artificial structures, Dyson spheres, and objects that don't follow standard gravitational rules - potential indicators of intelligent extraterrestrial life.

this fork addresses the 2023 HTTPS migration issue and completely ports the project to ESP8266